A Modified Moth Swarm Algorithm Based on an Arithmetic Crossover for Constrained Optimization and Optimal Power Flow Problems
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Dosyalar
Tarih
2018
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Ieee-Inst Electrical Electronics Engineers Inc
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
The moth swarm algorithm (MSA) is a new meta-heuristic optimization technique inspired by the navigational style of moths in nature. This paper represents a novel modified MSA with an arithmetic crossover (MSA-AC) with the aim of improving the search for a global optimum, the convergence speed to an optimal solution, and the performance of the traditional MSA. The proposed MSA-AC method was applied in 23 standard benchmark test functions and used in six CEC 2005 composite benchmark test functions. Furthermore, in order to verify the success of the optimal solution, the MSA-AC approach was used to solve the optimal power flow problem in the two-terminal high-voltage direct current systems of the modified New England 39-bus and the modified WSCC 9-bus test systems. The numerical results obtained from the MSA-AC were compared with both the traditional MSA method and with various optimization algorithms presented in the literature. The outcomes obtained from the comparative results indicate the potential of the proposed approach in finding the global optimum and the convergence to an optimal solution.
Açıklama
Duman, Serhat/0000-0002-1091-125X
WOS: 000444517100001
WOS: 000444517100001
Anahtar Kelimeler
Moth swarm algorithm, arithmetic crossover, benchmark test functions, optimal power flow, HVDC
Kaynak
Ieee Access
WoS Q Değeri
Q1
Scopus Q Değeri
Q1
Cilt
6
